dummy classifier added
Browse files- config.json +3 -0
- hyperparams.yaml +56 -0
config.json
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{
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"speechbrain_interface": "SpeakerRecognition"
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}
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hyperparams.yaml
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# ############################################################################
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# Model: ECAPA big for Speaker verification
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# ############################################################################
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# Feature parameters
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n_mels: 80
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# Output parameters
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out_n_neurons: 308
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# Model params
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compute_features: !new:speechbrain.lobes.features.Fbank
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n_mels: 80
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left_frames: 0
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right_frames: 0
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deltas: false
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sample_rate: 16000
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n_fft: 400
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win_length: 25
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hop_length: 10
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f_min: 0
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mean_var_norm: !new:speechbrain.processing.features.InputNormalization
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norm_type: sentence
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std_norm: False
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embedding_model: !new:crytorch.models.components.pann.Cnn14
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mel_bins: 80
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emb_dim: 2048
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norm_type: bn
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classifier: !new:speechbrain.lobes.models.ECAPA_TDNN.Classifier
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input_size: 2048
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out_neurons: !ref <out_n_neurons>
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modules:
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compute_features: !ref <compute_features>
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mean_var_norm: !ref <mean_var_norm>
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embedding_model: !ref <embedding_model>
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classifier: !ref <classifier>
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label_encoder: !new:speechbrain.dataio.encoder.CategoricalEncoder
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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loadables:
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# embedding_model: !ref <embedding_model>
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#classifier: !ref <classifier>
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#label_encoder: !ref <label_encoder>
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paths:
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# embedding_model: !ref <pretrained_path>/embedding_model.ckpt
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# classifier: !ref <pretrained_path>/classifier.ckpt
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# label_encoder: !ref <pretrained_path>/label_encoder.txt
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